NoshUp: Canadian Grocery Deals & Recipes
Was dieses MCP kann
Finds current Canadian grocery flyer deals and searches recipes by ingredients, cuisine, diet, or meal type.
Tools
Eingabeschema
{'type': 'object', 'title': 'get_flyer_dealsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10, 'maximum': 25, 'minimum': 1, 'description': 'Maximum number of results'}, 'query': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Query', 'default': None, 'description': 'Item name to search deals for (e.g. paneer, milk, rice)'}, 'store': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Store', 'default': None, 'description': 'Filter by store name (e.g. FreshCo, Costco)'}, 'postal_code': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Postal Code', 'default': None, 'description': 'Canadian postal code for location-aware deals (e.g. L4B1C3)'}}}
Ausgabeschema
{'type': 'object', 'title': 'get_flyer_dealsDictOutput', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'title': 'get_recipeArguments', 'required': ['meal_id'], 'properties': {'meal_id': {'type': 'string', 'title': 'Meal Id', 'description': 'Meal ID from search_meals (UUID)'}}}
Ausgabeschema
{'type': 'object', 'title': 'get_recipeDictOutput', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'title': 'search_mealsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10, 'maximum': 25, 'minimum': 1, 'description': 'Maximum number of results'}, 'query': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Query', 'default': None, 'description': 'Dish name, cuisine type, or ingredient to search for'}, 'cuisine': {'enum': ['indian', 'italian', 'mediterranean', 'mexican', 'east_asian', 'french', 'north_american', 'generic'], 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Cuisine', 'default': None, 'description': 'Filter by cuisine'}, 'dietary': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Dietary', 'default': None, 'description': 'Dietary constraints (vegetarian, vegan, gluten_free, nut_allergy)'}, 'meal_type': {'enum': ['breakfast', 'lunch', 'dinner', 'snack'], 'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Meal Type', 'default': None, 'description': 'Filter by meal type'}}}
Ausgabeschema
{'type': 'object', 'title': 'search_mealsDictOutput', 'additionalProperties': True}
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